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Case Study: Gen AI Garment Alteration Tool

Development
Tom Lorimer
Chief Executive Officer

Business Context

In the fast-paced world of fashion, speed and efficiency are everything. Each physical sample that goes unused adds significant costs, delays, and environmental strain. A leading fashion business approached Passion Labs with a challenge: eliminate waste in their sampling process while accelerating design-to-production timelines.

The Challenge

Traditional workflows rely on multiple manual steps, sketching, pattern drafting, sampling, and revisions. This not only increases costs but also creates unnecessary carbon footprint through wasted fabric and shipping. The client wanted to radically reimagine this process with AI.

The Process

Passion Labs partnered with the client’s design team to prototype a bespoke AI solution. We trained a machine learning model to convert simple text prompts (e.g., “a red hoodie with a zipper”) into production-ready sewing patterns instantly. By leveraging virtual avatars and digital fabric matching, we ensured precision without physical waste.

The Solution

The result was a generative AI tool that allowed designers to move from idea to pattern in seconds. This streamlined sampling, reduced reliance on physical prototypes, and opened up creative exploration without material cost.

The Impact

  • 65% reduction in physical samples required

  • 30% faster production timelines

  • Significant cost savings in design and prototyping

  • Tangible environmental benefits through reduced fabric waste



By bridging creativity with efficiency, Passion Labs delivered a first-of-its-kind proto-type for this client.

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